CNR Institutional Research Information System

SPATIAL FEATURE EXTRACTION FOR HIERARCHCAL CLASSIFICATION OF URBAN AREAS IN HIGH RESOLUTION IMAGES

C Tarantino;P Blonda
2008
2008
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
IEEE GOLD REMOTE SENSING CONFERENCE
Sì, ma tipo non specificato
ESA_ESRIN, FRASCATI
Hierarchical
classification
urban areas
spatial feature extraction
Abstract Due to the low spectral resolution of QuikBird images, it is difficult to discriminate land use classes such as roads and buildings, forest and permanent crops (e.g. orchards, olive groves, vineyards), tilled field and untilled fields, when only radiometry is considered and no multi-temporal information is available. In this study, spatial information such as texture and context is used together with spectral information to improve classification. Spatial feature selection is class oriented and a hierarchical classification scheme is applied. A pan-sharpened QuickBird image of Salento area (Southern Italy), acquired in January, has been analysed.
3
none
Amoruso, N; Tarantino, C; Blonda, P
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/104196
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